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opensearch-pyd/benchmarks/bench_info_sync.py
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Daniel (dB.) DoubrovkineandGitHub af263a060a Add micro benchmarks. (#537)
* Align pool_maxsize for different connection pool implementations.

Signed-off-by: dblock <[email protected]>

* Added benchmarks.

Signed-off-by: dblock <[email protected]>

* Multi-threaded vs. async benchmarks.

Signed-off-by: dblock <[email protected]>

* Set pool size to the number of threads.

Signed-off-by: dblock <[email protected]>

* Added sync/async benchmark.

Signed-off-by: dblock <[email protected]>

* Report client-side latency.

Signed-off-by: dblock <[email protected]>

* Various updates to benchmarks, demonstrating threading improves throughput.

Signed-off-by: dblock <[email protected]>

* Bench info.

Signed-off-by: dblock <[email protected]>

* Fixup format.

Signed-off-by: dblock <[email protected]>

* Undo async maxsize.

Signed-off-by: dblock <[email protected]>

* Moved benchmarks folder.

Signed-off-by: dblock <[email protected]>

* Updated documentation and project description.

Signed-off-by: dblock <[email protected]>

---------

Signed-off-by: dblock <[email protected]>
2023-10-13 11:29:54 -07:00

94 lines
2.1 KiB
Python

#!/usr/bin/env python
# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
import logging
import sys
import time
from thread_with_return_value import ThreadWithReturnValue
from opensearchpy import OpenSearch
host = "localhost"
port = 9200
auth = ("admin", "admin")
request_count = 250
root = logging.getLogger()
# root.setLevel(logging.DEBUG)
# logging.getLogger("urllib3.connectionpool").setLevel(logging.DEBUG)
handler = logging.StreamHandler(sys.stdout)
handler.setLevel(logging.DEBUG)
formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
handler.setFormatter(formatter)
root.addHandler(handler)
def get_info(client, request_count):
tt = 0
for n in range(request_count):
start = time.time() * 1000
rc = client.info()
total_time = time.time() * 1000 - start
tt += total_time
return tt
def test(thread_count=1, request_count=1, client_count=1):
clients = []
for i in range(client_count):
clients.append(
OpenSearch(
hosts=[{"host": host, "port": port}],
http_auth=auth,
use_ssl=True,
verify_certs=False,
ssl_show_warn=False,
pool_maxsize=thread_count,
)
)
threads = []
for thread_id in range(thread_count):
thread = ThreadWithReturnValue(
target=get_info, args=[clients[thread_id % len(clients)], request_count]
)
threads.append(thread)
thread.start()
latency = 0
for t in threads:
latency += t.join()
print(f"latency={latency}")
def test_1():
test(1, 32 * request_count, 1)
def test_2():
test(2, 16 * request_count, 2)
def test_4():
test(4, 8 * request_count, 3)
def test_8():
test(8, 4 * request_count, 8)
def test_32():
test(32, request_count, 32)
__benchmarks__ = [(test_1, test_32, "1 thread vs. 32 threads (sync)")]